41 telecommunications-and-signal-processing Postdoctoral positions at Stanford University
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Departments and Centers: Surg: General Surgery Postdoc Appointment Term: One year plus option for extension. Appointment Start Date: April 1, 2025 How to Submit Application Materials: dirbas@stanford.edu (link
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blockade (Phillips, Matusiak, et al, Nature Communications, 2021). We do research at the forefront of spatial biology and offer training in immunology, human histology, statistics, computer vision, grant
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your status; you will be contacted by the faculty lead if you are advancing in the review process. Required Qualifications: Completion of all doctoral requirements within the past three years and no
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critical materials supply chain. Key Responsibilities: Conduct research on the computational design and discovery of novel processing reagents for the selective separation and extraction of critical minerals
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computer or data science with applications to engineering, or a Ph.D. in engineering with experience in AI, machine learning, and/or LLMs). A strong passion for research, along with a proven record of
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project with our cornea and chemical engineering department to better understand corneal neurotization and improved techniques to treat neurotrophic keratopathy and techniques to deliver growth factors and
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Posted on Wed, 08/13/2025 - 10:23 Important Info Deprecated / Faculty Sponsor (Last, First Name): Krams, Sheri Stanford Departments and Centers: Surg: Transplantation Surgery Postdoc Appointment
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pharmacotherapy and exploratory, rapid acting therapies, including guanfacine, MDMA-assisted cognitive processing therapy and TMS. Supporting this program—and this position—are NIH awards under NIMH’s priority
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learning experts will be an essential and enriching component of the position. Strong candidates will have a background in machine learning and natural language processing (NLP), with a demonstrated ability
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cancer epidemiology with a Ph.D. degree in biostatistics, operation research, epidemiology (with strong computation skills), or related fields and hands-on experience in algorithmic implementation and